olsch01
b7d4e900cc
Full-stack iOS options trading assistant: - Python FastAPI backend with SQLite, APScheduler (15-min position monitor), APNs push notifications, and yfinance market data integration - Signal engine: IV Rank (rolling HV proxy), SMA-50/200, swing-based support/resistance, earnings detection, signal strength scoring and noise-resistant SHA hash for change detection - Recommendation engine: covered call and cash-secured put strike/expiry selection across 0DTE, 1DTE, weekly, and monthly horizons - REST API: /devices, /portfolio, /recommendations, /positions, /signals, /alerts - iOS SwiftUI app (iOS 17+): dashboard, recommendations, trades, portfolio, and alerts tabs with push notification deep-linking - Unit + integration tests for signal engine and API layer Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
15 lines
488 B
Python
15 lines
488 B
Python
from fastapi import APIRouter, HTTPException
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from app.models.schemas import SignalSnapshot
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from app.services.signal_engine import compute_signals
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router = APIRouter(prefix="/signals", tags=["signals"])
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@router.get("/{ticker}", response_model=SignalSnapshot)
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def get_signals(ticker: str):
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ticker = ticker.upper()
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snap = compute_signals(ticker)
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if snap is None:
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raise HTTPException(status_code=503, detail=f"Could not fetch market data for {ticker}")
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return snap
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